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APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
16 years 13 days ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
STACS
1999
Springer
15 years 11 months ago
Costs of General Purpose Learning
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc∗ -identification). His machine, on t...
John Case, Keh-Jiann Chen, Sanjay Jain
VLDB
1999
ACM
142views Database» more  VLDB 1999»
15 years 11 months ago
Active Storage Hierarchy, Database Systems and Applications - Socratic Exegesis
stract This panel addresses a very important area that is often neglected or overlooked by database systems, database applications developers and data warehouse designers, namely s...
Felipe Cariño, William O'Connell, John Burg...
AAAI
2010
15 years 8 months ago
PUMA: Planning Under Uncertainty with Macro-Actions
Planning in large, partially observable domains is challenging, especially when a long-horizon lookahead is necessary to obtain a good policy. Traditional POMDP planners that plan...
Ruijie He, Emma Brunskill, Nicholas Roy
WSC
2000
15 years 8 months ago
SNOOPy Calendar Queue
Discrete event simulations often require a future event list structure to manage events according to their timestamp. The choice of an efficient data structure is vital to the per...
Kah Leong Tan, Ian Li-Jin Thng